filipematias23/cleanRfield
cleanRfield: This package is a compilation of functions to clean and filter observations from yield monitors or other agricultural spatial point data. Yield monitors are prone to error, and filtering the observations or removing observations from near field boundaries can improve estimates of whole-field yield, combine speed, grain moisture, or other parameters. In this package, users can easily select filters thresholding for one or more traits and prepare a smaller dataset to make decisions.
RGPL-2.0
Stargazers
- adamhsparksCCDM-CBADA
- AfonsoCamposUniversidade Federal do Paraná
- amshewAcreTrader
- anapdinizm
- andrestyle16Chile
- austinwpearce@Field-to-Market
- bijubjsAuburn University
- bozaahDepartment of Primary Industries and Regional Development
- brownagUSDA-NRCS
- CBStiGöttingen, Germany
- cedricbouffardQuébec
- CogentAgIndigo Agriculture
- diegocarcedoCordoba, Argentina
- eduardoyamao
- envirocroptechEnvironmental & Cropping Technologies Australia @envirocroptech
- fdbesanto2
- hunterdanielsmith
- hydrogeohcAI/LLM researcher
- iatoloye
- j-desloiresINRAE
- jimoreiraUruguay
- JPAbdalla
- kamaulindhardtDept. of Agroecology, Aarhus University
- lfleon9b
- lucaspc09
- LucianaNietoBison Data Labs
- Ly0n@protontypes
- mbacou@WorldCover @wateraccounting @agrisemantics @agapps @CAL-Insurance
- para2xIndigoAg
- pythoncodeAshisHMahyco
- rajaldebnathCentral Silk Board
- ritviksahajpalUniversity of Maryland
- ScymnusRIPmine
- t-eliseeFAO
- taodatao
- vitormnsousaPortugal